import tensorflow as tf
import pandas as pd
# import matplotlib as mpl
import numpy as np
# import matplotlib.pyplot as plt
import sklearn
import pandas as pd
import sklearn
import os
import sys
import scipy

from tensorflow import keras

print(tf.__version__)
print(sys.version_info)
for module in np, sklearn, pd, tf, scipy, keras:
	print(module.__name__, module.__version__)


'''
1.13.1
sys.version_info(major=3, minor=7, micro=6, releaselevel='final', serial=0)
numpy 1.18.1
sklearn 0.22.1
pandas 1.0.2
scipy 1.3.1
tensorflow 1.13.1
tensorflow._api.v1.keras 2.2.4-tf
'''

'''
standard version:

python==3.6.6
keras==2.2.4
keras-applications==1.0.6
keras-preprocessing==1.0.5
tensorflow-gpu==1.10.0
scikit-learn==0.20.0
numpy==1.14.5
pandas==0.23.4
scipy==1.1.0
tensorboard==1.10.0
'''